# Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments

@article{Smyth2004LinearMA, title={Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments}, author={Gordon K. Smyth}, journal={Statistical Applications in Genetics and Molecular Biology}, year={2004}, volume={3}, pages={1 - 25} }

The problem of identifying differentially expressed genes in designed microarray experiments is considered. Lonnstedt and Speed (2002) derived an expression for the posterior odds of differential expression in a replicated two-color experiment using a simple hierarchical parametric model. The purpose of this paper is to develop the hierarchical model of Lonnstedt and Speed (2002) into a practical approach for general microarray experiments with arbitrary numbers of treatments and RNA samples… Expand

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